Description: 基于小波变换的图像融合,采用的是区域的6种算法-based on wavelet transform image fusion, using the region's six algorithms Platform: |
Size: 3072 |
Author:赵志强 |
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Description: 小波图像融合的示例,用matlab编写,欢迎下载测试。-Examples of wavelet image fusion using matlab prepared to welcome to download the test. Platform: |
Size: 5120 |
Author:glaze |
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Description: 这是一篇介绍图像融合算法的论文,采用经典的小波算法和IHS算法结合,在性能上,有很大的提高!-This is an image fusion algorithm Introduction thesis, using the classical wavelet algorithms and IHS algorithm combining the performance, have greatly improved! Platform: |
Size: 734208 |
Author:洪波 |
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Description: 利用小波变换方法进行多卫星遥感图像数据融合,分析不同长度的小波基对融合图像的影响,从信息的保持性、视觉效果及运用灵活性等方面与IHS、PCA 融合算法进行了比较,从而探讨这一新算法在遥感图像分析应用中的可行性。-Using wavelet transform methods of multi-satellite remote sensing image data fusion, analysis of different wavelet bases on the length of the impact of image fusion, from the maintenance of information, visual effects and the use of flexibility with the IHS, PCA fusion algorithm are compared in order to explore the This new algorithm in the application of remote sensing image analysis feasibility. Platform: |
Size: 65536 |
Author:lieutenant |
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Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩;imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪,得到高频系数阈值,降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解;zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
Size: 3072 |
Author:zhouhao |
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Description: 图像的小波去噪,给灰度图像加上一定量的高斯噪声,再采用小波变换的方法去噪.-Wavelet Denoising image to gray image coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform de-noising. Platform: |
Size: 1024 |
Author:李大 |
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Description: 本文借助多尺度分析为手段,
研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等
关键问题的理论方法研究,扩展了尺度的含义,使其不再局限在通常的小波分
析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpolation, registration, integration and division of such key issues as the theoretical study of the meaning of the expansion of the scale so that it no longer confined to wavelet analysis in the usual two aspects and morphology. Platform: |
Size: 2545664 |
Author:媛媛 |
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Description: 基于matlab小波变换的图像融合,采用的是区域的6种算法-Matlab wavelet transform based image fusion, using the region of six kinds of algorithms Platform: |
Size: 4096 |
Author:高飞 |
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Description: 基于小波分析的图像融合,采用的是系数加权平均法-Image fusion based on wavelet analysis, using the weighted average coefficient Platform: |
Size: 260096 |
Author:梅梅 |
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Description: 基于小波变换的图像融合源代码,利用的融合规则分别使用简单的模值取大和基于区域能量。-Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy. Platform: |
Size: 98304 |
Author:葛宏 |
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Description: Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. Output is an image of better quality which quality depends on a particular application. The objective of fusion is to generate a resultant image which describes a scene better or even higher than any single image with respect to some relevant properties providing a highly informative image. These fusion techniques are especially beneficial in diagnosing and treating cancer in field of medicine. This paper focuses on the development of a different image fusion method using Dual Tree Complex Wavelet Transform. Experimental results show that the proposed algorithm has a better visual quality than the base methods. Also the result if the fused image has been evaluated using a set of quality metrics. -Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Input to fusion is a set of images taken from different modalities of the same scene. Output is an image of better quality which quality depends on a particular application. The objective of fusion is to generate a resultant image which describes a scene better or even higher than any single image with respect to some relevant properties providing a highly informative image. These fusion techniques are especially beneficial in diagnosing and treating cancer in field of medicine. This paper focuses on the development of a different image fusion method using Dual Tree Complex Wavelet Transform. Experimental results show that the proposed algorithm has a better visual quality than the base methods. Also the result if the fused image has been evaluated using a set of quality metrics. Platform: |
Size: 16384 |
Author:sruthy78 |
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Description: The most widely used transform for image fusion at
multi scale is Wavelet Transform since it minimizes structural
distortions. But, wavelet transform suffers lack of shift
invariance & poor directionality. These disadvantages are
overcome by using our proposed method that is Un-decimated
Discrete Wavelet Transform.-The most widely used transform for image fusion at
multi scale is Wavelet Transform since it minimizes structural
distortions. But, wavelet transform suffers lack of shift
invariance & poor directionality. These disadvantages are
overcome by using our proposed method that is Un-decimated
Discrete Wavelet Transform. Platform: |
Size: 12288 |
Author:Naga Kishore |
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